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Zimmerling, Clemens
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1

Physics-informed MeshGraphNets (PI-MGNs): Neural finite ele..:

Würth, Tobias ; Freymuth, Niklas ; Zimmerling, Clemens..
Computer Methods in Applied Mechanics and Engineering.  429 (2024)  - p. 117102 , 2024
Link: https://doi.org/10.1016/..
 
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2

Physics-informed neural networks for data-free surrogate mo..:

Würth, Tobias ; Krauß, Constantin ; Zimmerling, Clemens.
Materials & Design.  231 (2023)  - p. 112034 , 2023
Link: https://doi.org/10.1016/..
 
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3

Formability Assessment of Variable Geometries Using Machine..:

Zimmerling, Clemens ; Fengler, Benedikt ; Kärger, Luise
Key Engineering Materials.  926 (2022)  - p. 2247-2257 , 2022
Link: https://doi.org/10.4028/..
 
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4

Optimisation of manufacturing process parameters for variab..:

Zimmerling, Clemens ; Poppe, Christian ; Stein, Oliver.
Materials & Design.  214 (2022)  - p. 110423 , 2022
Link: https://doi.org/10.1016/..
 
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5

Optimisation of layup type and fibre orientation in continu..:

Zimmerling, Clemens ; Fengler, Benedikt ; Krauß, Constantin.
Composite Structures.  287 (2022)  - p. 115347 , 2022
Link: https://doi.org/10.1016/..
 
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6

Estimating Optimum Process Parameters in Textile Draping of..:

Zimmerling, Clemens ; Poppe, Christian ; Kärger, Luise
Procedia Manufacturing.  47 (2020)  - p. 847-854 , 2020
Link: https://doi.org/10.1016/..
 
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7

A machine learning assisted approach for textile formabilit..:

Zimmerling, Clemens ; Dörr, Dominik ; Henning, Frank.
Composites Part A: Applied Science and Manufacturing.  124 (2019)  - p. 105459 , 2019
Link: https://doi.org/10.1016/..
 
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8

Optimisation of manufacturing process parameters using deep..:

Pfrommer, Julius ; Zimmerling, Clemens ; Liu, Jinzhao...
Procedia CIRP.  72 (2018)  - p. 426-431 , 2018
Link: https://doi.org/10.1016/..
 
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9

Forming optimisation embedded in a CAE chain to assess and ..:

Kärger, Luise ; Galkin, Siegfried ; Zimmerling, Clemens...
Composite Structures.  192 (2018)  - p. 143-152 , 2018
Link: https://doi.org/10.1016/..
 
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10

Machine Learning for Efficient Process Optimization in Text..:

Zimmerling, Clemens
https://publikationen.bibliothek.kit.edu/1000162969.  , 2023
Link: https://publikationen.bi..
 
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11

Forming process optimisation for variable geometries by mac..:

Zimmerling, Clemens ; Kärger, L
Materials Research Proceedings.  , 2023
Link: https://publikationen.bi..
 
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12

Physics-informed neural networks for data-free surrogate mo..:

Würth, Tobias ; Krauß, Constantin ; Zimmerling, Clemens.
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.matdes.2023.112034.  , 2023
Link: https://publikationen.bi..
 
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13

Techniken des Maschinenlernens zur effizienten Prozessoptim..:

Zimmerling, Clemens
https://publikationen.bibliothek.kit.edu/1000162970.  , 2023
Link: https://publikationen.bi..
 
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14

Machine learning algorithms for efficient process optimisat..:

Zimmerling, Clemens
https://publikationen.bibliothek.kit.edu/1000154623.  , 2023
Link: https://publikationen.bi..
 
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15

Machine learning algorithms for efficient process optimisat..:

Zimmerling, Clemens
https://publikationen.bibliothek.kit.edu/1000162971.  , 2023
Link: https://publikationen.bi..
 
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